AI FOR INSURANCE: TRANSFORM CLAIMS, UNDERWRITING AND OPERATIONS
Scale operations with agentic AI built for insurance
Insurance leaders are under pressure to do more with less. This exclusive InsurTech Digital Report breaks down the real barriers to AI adoption and shows exactly how agentic AI is reshaping claims processing, underwriting, and back-office operations. Get the strategies early movers are using to outpace the competition.
Why are 70% of insurance AI initiatives failing to reach production?
In today's complex insurance landscape, you're caught in an automation paradox: the very point solutions meant to simplify operations end up creating more complexity.
After decades of mergers and acquisitions, your legacy systems sit in disconnected silos while labor-intensive claims and underwriting processes continue to drain resources. Meanwhile, AI initiatives show promise in pilots but rarely scale across the enterprise—with industry research showing only 30% of implementations reach production.
Vertesia's platform-based approach to agentic AI is changing the game for forward-thinking insurance leaders who need enterprise-wide transformation, not just another point solution.
Move beyond automation to AI that runs insurance workflows
Vertesia powers AI agents that don’t just assist; they execute across claims, underwriting, and operations, helping insurers reduce cycle times, lower costs, and scale without added complexity.
Claims processing automation
AI agents read, extract, and route claim documents in real time eliminating manual intake delays.
- Cut claims intake from days to hours
- Improve reserving accuracy with consistent document interpretation
- Reduce leakage through standardized decision workflows
- Speed up resolution times and improve customer satisfaction
Underwriting excellence
AI agents analyze submission data, extract risk signals, and pre-structure underwriting recommendations for faster human approval.
- Reduce time spent reviewing complex submissions
- Standardize risk evaluation across teams
- Improve consistency in underwriting decisions
- Increase throughput without increasing headcount
Back-office transformation
Streamline insurance operations and eliminate manual processing bottlenecks. Vertesia automates high-volume back office work by deploying AI agents that extract, classify, and route critical business documents and data across systems, reducing operational overhead and improving accuracy.
- Automate document intake, classification, and routing across workflows
- Reduce manual data entry and repetitive administrative tasks
- Improve processing accuracy and consistency across systems
- Increase throughput without adding operational headcount
Why insurers choose Vertesia to move agentic AI from experimentation to execution
Platform economics
Build once, scale across insurance functions for compounding ROI. Design flexible AI agents and deploy them across claims, underwriting, and back-office workflows unlocking reusable intelligence and accelerating returns across the enterprise.
Workshop-first implementation
Start with high-impact use cases, move from idea to deployment quickly. Vertesia helps teams identify high-value, low-complexity opportunities and rapidly turn them into production-ready AI agents through structured, collaborative workshops.
Human-in-the-loop oversight
AI agents that escalate when needed. AI agents are designed to recognize uncertainty, ask clarifying questions, and route decisions to humans when appropriate, reducing hallucinations and improving trust in critical workflows.
Reasoning capabilities
Handle complex insurance scenarios beyond rigid automation rules. Vertesia AI agents adapt to non-standard, exception-heavy insurance processes by reasoning through context rather than relying solely on static rules or predefined paths.
Unlock how leading insurers are moving from AI experimentation to enterprise execution
Download this report to learn how agentic AI is reshaping insurance operations and how to apply it in your organization.
You'll discover:
- How Vertesia breaks the “automation paradox” limiting most AI initiatives
- Why agentic AI outperforms traditional RPA and rules-based automation
- Which insurance workflows deliver the fastest measurable ROI
- How to deploy AI agents in days, not months or years
- Real-world applications across claims, underwriting, and back-office operations

